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Jan 6, 2014 at 18:16 audit Suggested edits
Jan 6, 2014 at 18:39
Dec 31, 2013 at 9:03 audit Suggested edits
Dec 31, 2013 at 9:14
Dec 20, 2013 at 15:26 vote accept Sahil
Dec 20, 2013 at 15:26 vote accept Sahil
Dec 20, 2013 at 15:26
Dec 20, 2013 at 15:26 vote accept Sahil
Dec 20, 2013 at 15:26
Dec 20, 2013 at 15:25 vote accept Sahil
Dec 20, 2013 at 15:26
Dec 20, 2013 at 13:55 answer added JVMATL timeline score: 1
Dec 20, 2013 at 6:06 vote accept Sahil
Dec 20, 2013 at 15:25
Dec 20, 2013 at 6:00 comment added Sahil @JamesMontagne Thanks! I agree. It did improve the time and gave me expected results with input sizes of millions of elements. Even though the program did not run four times as expected by multi-threaded, it did run 2-2.5 times faster. Any other suggestions?
Dec 20, 2013 at 5:57 comment added Sahil Hi @BrantUnger, I do not agree with what you said. The way I am calculating the time is by getting the System time before the code started executing and System time when the code stopped executing. I think this is how it should be done. When I tried what you said, the time it took was the same. But thanks for the input!
Dec 20, 2013 at 5:19 answer added Makoto timeline score: 2
Dec 20, 2013 at 5:04 comment added James Montagne That seems like a really tiny data set to benchmark. With so little actual calculation time, just the extra setup code in the threads could be the difference. Try a very large amount of data and see if the results differ.
Dec 20, 2013 at 5:02 comment added Brant Unger Unless I am a retard, you are adding up the time each thread spends....and combining. Adding them together gives you a value close to 4 times longer than what it really took, because they run concurrently/parallel, not one after the other.
Dec 20, 2013 at 4:51 history edited Sahil CC BY-SA 3.0
added 307 characters in body
Dec 20, 2013 at 4:39 review First posts
Dec 20, 2013 at 4:39
Dec 20, 2013 at 4:20 history asked Sahil CC BY-SA 3.0